Simulation of Mobile Robot Movement Around Obstacles

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dc.contributor.advisorMikuska, Robert
dc.contributor.authorAttar, Mohammed Atif
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-09-04T16:08:26Z
dc.date.available2025-09-04T16:08:26Z
dc.date.created2024-12-02
dc.description.abstractMobile robotics has completely revised automation, healthcare, and exploration. This paper thesis discusses about obstacle avoidance, path planning, and simulation environments. Advanced sensors, such as LiDAR and stereo cameras, allow mapping and decision-making in real time. Techniques such as the point cloud data and filtering it to maintain the data within LiDAR and stereo camera range, ensure safe navigation in dynamic settings. Simulations using MATLAB and Autodesk Inventor allow for design optimization and testing, minimizing risk and costs. Features like sensor fusion, occupancy grid mapping, and adaptive path adjustment enhance navigation. This research advances mobile robotics, highlighting simulation's role in bridging theory and practice for autonomous systems.
dc.description.courseMechatronics Enginnering
dc.description.degreeBSc/BA
dc.format.extent71
dc.identifier.urihttps://hdl.handle.net/2437/397289
dc.language.isoen
dc.subjectMobile robotics
dc.subjectObstacle avoidance
dc.subjectPath planning
dc.subjectLiDAR
dc.subjectPoint Cloud Data
dc.subjectSimulation Environment
dc.subject.dspaceEngineering Sciences
dc.titleSimulation of Mobile Robot Movement Around Obstacles
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